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Data Scientist (Fintech)

200 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Fintech): Building experiments, predictive machine learning models, data pipelines, and internal tools that expand responsible access to capital and improve portfolio performance with an accent on causal inference, merchant lifecycle analysis, repayment forecasting, and financial risk. Focus on designing growth-versus-risk experiments, deploying XGBoost models, automating KYC and fraud workflows with APIs and LLMs, and delivering reliable data infrastructure.

Location: San Francisco, CA, United States; hybrid work

Salary: $200,000–$260,000 for Data Scientist / Senior Data Scientist, plus equity; $265,000–$330,000 for Staff / Principal Data Scientist, plus equity.

Company

hirify.global builds integrated financial tools that help small businesses access funding, spend management, and savings products through platform partners.

What you will do

  • Design experiments and analyses that expand access to capital while managing portfolio risk.
  • Study the merchant lifecycle from initial offers through repayment and repeat capital to identify responsible growth opportunities.
  • Build, deploy, and improve machine learning models forecasting merchant repayment behavior and informing offer pricing and sizing.
  • Measure the impact of servicing interventions on merchant outcomes and recovered balances.
  • Develop data pipelines, automated systems, dashboards, Streamlit applications, and internal tools used across the company.
  • Lead data science projects end to end, collaborate with stakeholders, document findings, and mentor other data science team members.

Requirements

  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Strong statistical reasoning, metric design, causal inference, and predictive machine learning skills.
  • Ability to solve business problems with appropriate data science methods and assess effects on financial performance, customers, and compliance.
  • Ability to write legible, reliable, tested code and contribute to model and data infrastructure design.
  • Ability to prioritize high-impact work, scope projects rigorously, and execute with urgency.
  • Ability to work in a hybrid role based in San Francisco, California.

Nice to have

  • Management experience.
  • Experience with XGBoost, APIs, LLMs, Streamlit, dashboards, or Slack bots.

Culture & Benefits

  • Work-from-home flexibility within the hybrid arrangement.
  • Equity grant.
  • Medical, dental, and vision insurance.
  • Unlimited paid time off and paid parental leave.
  • Commuter benefits, free lunches, 401(k), and an employee assistance program.
  • Regular seminars and project reviews focused on learning and collaboration.

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